Bollinger Band Scans

Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.

Live data
Signal Key: Overbought — price ≥ Upper Band Oversold — price ≤ Lower Band Squeeze — bandwidth near 20-day low Upper Walk — %B ≥ 80 (momentum) Lower Walk — %B ≤ 20 (weakness)
0
Overbought
1
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 LTTOP 3785.6 -0.18% 4214.59 3945.34 3676.09
20.34%
13.65%
27.68 19.94L — Normal
2 LTFTOP 302.4 -0.87% 334.42 314.29 294.16
20.47%
12.81%
32.51 28.38L — Normal
3 ADANIPORTSTOP 1768.3 -0.57% 1883.54 1825.98 1768.42
-0.1%
6.3%
30.57 16.86L ● Oversold
4 POWERGRIDTOP 288.2 -0.55% 291.15 285.28 279.41
74.87%
4.12%
52.94 84.75L — Normal

Based on 20-period Bollinger Bands (2σ) on daily candles. Squeeze = bandwidth near 20-session low. · Auto-refresh every 60s during market hours

What Are Bollinger Bands?

Bollinger Bands is a popular technical indicator developed by analyst John Bollinger in the 1980s. It consists of three lines plotted around a simple moving average to measure market volatility and identify overbought or oversold conditions.

When the bands widen, volatility is increasing — more trading opportunities. When bands narrow (squeeze), volatility is low and a breakout is likely approaching.

How to Use Bollinger Bands in Trading

Bollinger Band Formulas

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